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How is your data being used?

Tuesday 28 September, 2021
The information you have generously provided has been invaluable for research into many conditions including cancer, arthritis and cardiovascular disease.
Below is a selection of scientific papers that have recently been published using data from Health 2020 participants. Some of this research has involved researchers from across Australia and around the world.
  1. Li SX, et al. Prospective Evaluation of the Addition of Polygenic Risk Scores to Breast Cancer Risk Models. JNCI Cancer Spectr. 2021 Mar 2;5(3):pkab021. doi: 10.1093/jncics/ pkab021. PMID: 33977228.

  2. Yang Y, et al. Latent Class Trajectory Modeling of Adult Body Mass Index and Risk of Obesity-Related Cancer: Findings from the Melbourne Collaborative Cohort Study. Cancer Epidemiol Biomarkers Prev. 2021 Feb;30(2):373-379. doi: 10.1158/1055-9965.EPI-20-0690. Epub 2020 Dec 2. PMID: 33268487.

  3. Hodge AM, et al. Diet scores and prediction of general and abdominal obesity in the Melbourne collaborative cohort study. Public Health Nutr. 2021 Apr 20:1-12. doi: 10.1017/ S1368980021001713. Epub ahead of print. PMID: 33875030.

  4. Breast Cancer Association Consortium, et al. Breast Cancer Risk Genes - Association Analysis in More than 113,000 Women. N Engl J Med. 2021 Feb 4;384(5):428-439. doi: 10.1056/NEJMoa1913948. Epub 2021 Jan 20. PMID: 33471991.

  5. Hurson AN, et al. Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries. Int J Epidemiol. 2021 Mar 23:dyab036. doi: 10.1093/ije/dyab036. Epub ahead of print. PMID: 33755131.

  6. Laaksonen MA, et al. The Future Burden of Head and Neck Cancers Attributable to Modifiable Behaviors in Australia: A Pooled Cohort Study. Cancer Epidemiol Biomarkers Prev. 2021 May 21. doi: 10.1158/1055-9965.EPI-21-0003. Epub ahead of print. PMID: 34020998.

  7. Nguyen TL, et al. Novel mammogram-based measures improve breast cancer risk prediction beyond an established mammographic density measure. Int J Cancer. 2021 May 1;148(9):2193-2202. doi: 10.1002/ijc.33396. Epub 2020 Dec 4. PMID: 33197272.

  8. Wang SE, et al. Diet and risk of gastro-oesophageal reflux disease in the Melbourne Collaborative Cohort Study. Public Health Nutr. 2021 Jan 21:1-13. doi: 10.1017/ S1368980021000197. Epub ahead of print. PMID: 33472714.